Qualitative fusion of normalised scores in multimodal biometrics

  • Authors:
  • Fawaz Alsaade;Aladdin Ariyaeeinia;Amit Malegaonkar;Surosh Pillay

  • Affiliations:
  • Faculty of Engineering and Information Sciences, University of Hertfordshire, Hatfield, UK;Faculty of Engineering and Information Sciences, University of Hertfordshire, Hatfield, UK;Faculty of Engineering and Information Sciences, University of Hertfordshire, Hatfield, UK;Faculty of Engineering and Information Sciences, University of Hertfordshire, Hatfield, UK

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 2009

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Abstract

A new approach to enhancing the accuracy of multimodal biometrics is investigated. The proposed approach, which involves combining score normalisation and qualitative-based fusion, is shown to considerably improve the accuracy of multimodal biometrics under different data conditions.